Tootfinder

Reliability and predictability of phenotype information from functional connectivity in large imaging datasets
Jessica Dafflon, Dustin Moraczewski, Eric Earl, Dylan M. Nielson, Gabriel Loewinger, Patrick McClure, Adam G. Thomas, Francisco Pereira
https://arxiv.org/abs/2405.00255

Reliability and predictability of phenotype information from functional connectivity in large imaging datasets
One of the central objectives of contemporary neuroimaging research is to create predictive models that can disentangle the connection between patterns of functional connectivity across the entire brain and various behavioral traits. Previous studies have shown that models trained to predict behavioral features from the individual's functional connectivity have modest to poor performance. In this study, we trained models that predict observable individual traits (phenotypes) and their correspon…

Impact of Monoatomic Vacancies in 2D Materials on the Performance of Magnetic Tunnel Junction Devices: Insights from Configurations and Interface Interactions
Halimah Harfah, Yusuf Wicaksono, Gagus K. Sunnardianto, Muhammad Aziz Majidi, Koichi Kusakabe
https://arxiv.org/abs/2404.02586

Impact of Monoatomic Vacancies in 2D Materials on the Performance of Magnetic Tunnel Junction Devices: Insights from Configurations and Interface Interactions
We investigate the impact of monoatomic vacancies in 2D materials on the performance of magnetic tunnel junction (MTJ) devices using first-principles calculations within Density Functional Theory (DFT). Specifically, we analyze the influence on hexagonal boron nitride (hBN) with various layer configurations, uncovering distinct transmission probability patterns. Transmission calculations were conducted using the Landauer-Büttiker formula employing the Non-Equilibrium Green's Function (NEGF) me…

"Software engineers are not always aware that our cherished Silicon Valley was a side effect (with apologies to our readers fond of functional programming) of the San Francisco counterculture of the late 60s. Such a movement and its devotion to LSD gave us Scott McKenzie singing at the Monterey Festival (where a certain Ravi Shankar made its debut in front of an American audience), and it also sparked influential software companies with names like Lotus, Sun, and Apple."

Geoffrey James
Western culture has long been fascinated with what the French call "Extrême-Orient"; since the times of Marco Polo, most probably since biblical times. We (the editors of a magazine that is, after all, a pure product of Western civilization) assign certain qualities to the thinking patterns of those regions: wisdom, calmness, thoughtfulness, and reflection. Eastern philosophy is often analyzed in counterpoint, in a tangential or even orthogonal fashion from its western counterpart: Confucius v…

Circular wave interference patterns. Inspired by a single-drop model:
https://twitter.com/Thangs3D/status/1772990127343566916
Now with Printables link for downloading / printing:

Thangs (@Thangs3D) on X
This water drop tray from @gazzaladradesig has been popular this week and for good reason! Not only is it stylish, but it also is very functional 😎 Model page: https://t.co/SA2M1GyVzl #3DPrinting

Impact of Monoatomic Vacancies in 2D Materials on the Performance of Magnetic Tunnel Junction Devices: Insights from Configurations and Interface Interactions
Halimah Harfah, Yusuf Wicaksono, Gagus K. Sunnardianto, Muhammad Aziz Majidi, Koichi Kusakabe
https://arxiv.org/abs/2404.02586

Impact of Monoatomic Vacancies in 2D Materials on the Performance of Magnetic Tunnel Junction Devices: Insights from Configurations and Interface Interactions
We investigate the impact of monoatomic vacancies in 2D materials on the performance of magnetic tunnel junction (MTJ) devices using first-principles calculations within Density Functional Theory (DFT). Specifically, we analyze the influence on hexagonal boron nitride (hBN) with various layer configurations, uncovering distinct transmission probability patterns. Transmission calculations were conducted using the Landauer-Büttiker formula employing the Non-Equilibrium Green's Function (NEGF) me…

Mapping the unique neural engagement in deaf individuals during picture, word, and sign language processing: fMRI study https://link.springer.com/article/10.1007/s11682-024-00878-7 "connectivity dynamics provide valuable insights into the neural interplay as…

Mapping the unique neural engagement in deaf individuals during picture, word, and sign language processing: fMRI study - Brain Imaging and Behavior
Employing functional magnetic resonance imaging (fMRI) techniques, we conducted a comprehensive analysis of neural responses during sign language, picture, and word processing tasks in a cohort of 35 deaf participants and contrasted these responses with those of 35 hearing counterparts. Our voxel-based analysis unveiled distinct patterns of brain activation during language processing tasks. Deaf individuals exhibited robust bilateral activation in the superior temporal regions during sign langu…

Analyzing Resting-State fMRI Data in Marijuana Users via High-Order Attention Brain Network
Jun-En Ding, Shihao Yang, Feng Liu
https://arxiv.org/abs/2403.00033

Analyzing Resting-State fMRI Data in Marijuana Users via High-Order Attention Brain Network
The sustained use of marijuana significantly impacts the lives and health of people. In this study, we propose an interpretable novel framework called the HOGAB (High-Order Attention Graph Attention Neural Networks) model to analyze local abnormal brain activity in chronic marijuana users in two datasets. The HOGAB integrates dynamic intrinsic functional networks with LSTM technology to capture temporal patterns in fMRI time series of marijuana users. Moreover, we use the high-order attention m…

This https://arxiv.org/abs/2310.18793 has been replaced.
initial toot: https://mastoxiv.page/@a…

Ultrafast Electron Diffuse Scattering as a Tool for Studying Phonon Transport: Phonon Hydrodynamics and Second Sound Oscillations
Hydrodynamic phonon transport phenomena, like second sound, have been observed in liquid Helium more than 50 years ago. More recently second sound has been observed in graphite at over 200 K using transient thermal grating techniques. In this work we explore the signatures of second sound in ultrafast electron diffuse scattering (UEDS) patterns. We use density functional theory and solve the Boltzmann transport equation to determine time-resolved non-equilibrium phonon populations and subsequen…

This https://arxiv.org/abs/2402.00207 has been replaced.
link: https://scholar.google.com/scholar?q=a

Optimal vaccination strategies on networks and in metropolitan areas
This study presents a mathematical model for optimal vaccination strategies in interconnected metropolitan areas, considering commuting patterns. It is a compartmental model with a vaccination rate for each city, acting as a control function. The commuting patterns are incorporated through a weighted adjacency matrix and a parameter that selects day and night periods. The optimal control problem is formulated to minimize a functional cost that balances the number of hospitalizations and vaccine…

This https://arxiv.org/abs/2311.14054 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Analysis of Active/Inactive Patterns in the NHANES Data using Generalized Multilevel Functional Principal Component Analysis
Between 2011 and 2014 NHANES collected objectively measured physical activity data using wrist-worn accelerometers for tens of thousands of individuals for up to seven days. Here we analyze the minute-level indicators of being active, which can be viewed as binary (because there is an active indicator at every minute), multilevel (because there are multiple days of data for each study participant), functional (because within-day data can be viewed as a function of time) data. To extract within-…

Low Cost Carriers induce specific and identifiable delay propagation patterns: an analysis of the EU and US systems
Sofia Gil-Rodrigo, Massimiliano Zanin
https://arxiv.org/abs/2402.07656

Low Cost Carriers induce specific and identifiable delay propagation patterns: an analysis of the EU and US systems
The impact of air transport delays and their propagation has long been studied, mainly from environmental and mobility viewpoints, using a wide range of data analysis tools and simulations. Less attention has nevertheless been devoted to how delays create meso-scale structures around each airport. In this work we tackle this issue by reconstructing functional networks of delay propagation centred at each airport, and studying their identifiability (i.e. how unique they are) using Deep Learning …

A note on heterogeneity, trade integration and spatial inequality
Jos\'e M. Gaspar
https://arxiv.org/abs/2404.09796 https://arxiv…

A note on heterogeneity, trade integration and spatial inequality
We study the impact of economic integration on spatial development in a model where all consumers are inter-regionally mobile and have heterogeneous preferences regarding their residential location choices. This heterogeneity is the unique dispersion force in the model. We show that, under reasonable values for the elasticity of substitution among varieties of consumption goods, a higher trade integration always promotes more symmetric patterns, irrespective of the functional form of the disper…

Determining the Number of Common Functional Factors with Twice Cross-Validation
Hui Jiang, Lei Huang, Shengfan Wu
https://arxiv.org/abs/2403.02625 https://…

Determining the Number of Common Functional Factors with Twice Cross-Validation
The semiparametric factor model serves as a vital tool to describe the dependence patterns in the data. It recognizes that the common features observed in the data are actually explained by functions of specific exogenous variables.Unlike traditional factor models, where the focus is on selecting the number of factors, our objective here is to identify the appropriate number of common functions, a crucial parameter in this model. In this paper, we develop a novel data-driven method to determine…

Strain-dependent one-dimensional confinement channels in twisted bilayer 1T$'$-WTe$_2$
Samuel J. Magorrian, Nicholas D. M. Hine
https://arxiv.org/abs/2404.10557

Strain-dependent one-dimensional confinement channels in twisted bilayer 1T$'$-WTe$_2$
The low symmetry and anistropic lattice of 1T$'$ WTe$_2$ is responsible for the existence of parallel one-dimensional channels in the moiré patterns of twisted bilayers. This gives the opportunity to explore moiré physics of a different nature to that widely observed in twisted bilayers of materials with hexagonal symmetries. Here, we combine plane-wave and linear-scaling density functional theory calculations to describe the electronic properties of twisted bilayer 1T$'$ WTe$_2$. For a small…

Covariance Regression with High-Dimensional Predictors
Yuheng He, Changliang Zou, Yi Zhao
https://arxiv.org/abs/2404.06701 https://ar…

Covariance Regression with High-Dimensional Predictors
In the high-dimensional landscape, addressing the challenges of covariance regression with high-dimensional covariates has posed difficulties for conventional methodologies. This paper addresses these hurdles by presenting a novel approach for high-dimensional inference with covariance matrix outcomes. The proposed methodology is illustrated through its application in elucidating brain coactivation patterns observed in functional magnetic resonance imaging (fMRI) experiments and unraveling comp…

This https://arxiv.org/abs/2309.07096 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

Computational limits to the legibility of the imaged human brain
Our knowledge of the organisation of the human brain at the population-level is yet to translate into power to predict functional differences at the individual-level, limiting clinical applications, and casting doubt on the generalisability of inferred mechanisms. It remains unknown whether the difficulty arises from the absence of individuating biological patterns within the brain, or from limited power to access them with the models and compute at our disposal. Here we comprehensively investi…